code: def symmetric_log1p(t: TensorLike) -> tf.Tensor:
      """Computes `sign(x) * log(1 + sign(x))`.
  
      Args:
        t: A `Tensor` or anything that can be converted to a tensor using
          `tf.convert_to_tensor`.
  
      Returns:
        A `Tensor` that has each input element transformed as `x` to `I(x > 1)`.
      """
      return tf.math.log1p(t * tf.sign(t)) * tf.sign(t)
  
file_path: ranking/tensorflow_ranking/python/keras/utils.py
imports: from typing import Callable
  import tensorflow
label_desc: Use image node_id 8 for calling a global function with example usage: symmetric_log1p(t) and returns: unknown